Understanding Proofs by Euclid — 101
Author(s): Pratik Shukla Any Composite Number is Measured by Some Prime Number. Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming …
Basic Math Skills for Data Science
Author(s): Benjamin Obi Tayo Ph.D. Math skills will help you to avoid the pitfalls of using machine learning algorithms as blackbox tools Continue reading on Towards AI » Published via Towards AI …
Clash Royale challenge algorithm: how many players can get 12 wins?
Author(s): Michelangiolo Mazzeschi Solving math riddles with Monte-Carlo simulations. Full code available at my repo. Continue reading on Towards AI » Published via Towards AI …
One LEGO at a Time: Explaining the Math of how Neural Networks Learn with Implementation from Scratch
Author(s): Omar U. Florez, Ph.D. A neural network is a clever arrangement of linear and non-linear modules. When we choose and connect them wisely, we have a powerful tool to approximate any mathematical function. For example one that separates classes with a non-linear …
In Homage to Benoit Mandelbrot
Author(s): Jonathan Scott Image by the author. Brownian Motion in Multifractal Time I must thank my good friend Daniel Luftspring for his contributions and guidance throughout the development of this project. Short on the Assessment of Risk At the core of the financial market …
Linear Algebra for ML
Author(s): Johar M. Ashfaque Source: Unsplash Machine Learning, Mathematics You do not need to learn linear algebra before you get started in machine learning, but at some point, you may wish to dive deeper. Linear algebra will give you the tools to help …
Creating a Formula to Value Knowledge
Author(s): Michelangiolo Mazzeschi A creative attempt to create a formula for valuing the things you study Continue reading on Towards AI » Published via Towards AI …
Truth = Utility
Author(s): Naim Kabir Definition and implications of a new kind of epistemology Continue reading on Towards AI » Published via Towards AI …
Basic Linear Algebra for Deep Learning and Machine Learning Python Tutorial
Figure 1: A three-dimensional Euclidean space used to represent solutions of linear equations [1] [2]. Image is a vector derivative from “High-dimensional Simplexes for Supermetric Search” by Richard Connor, Lucia Vadicamo, and Fausto Rabitti [3]. An introductory tutorial to linear algebra for machine …
The Discrete ‘Movie Rating’ Distribution
Author(s): Michelangiolo Mazzeschi A statistical interpretation of the movie ratings Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Let’s Flip Some Coins, or How Randomness Can Help with Proving Theorems
Author(s): Haris Angelidakis In this post, we introduce the beautiful Probabilistic Method, and how it can be used to prove claims about discrete structures. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Convexity and Jensen’s Inequality (and the AM-GM Inequality)
Author(s): Haris Angelidakis In this short article, we discuss the very useful Jensen’s inequality for convex functions and use it to derive the AM-GM inequality. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Calculus in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Behind every machine learning model is an optimization algorithm that relies heavily on calculus Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How Much Math do I need in Data Science?
Author(s): Benjamin Obi Tayo Ph.D. Image by Benjamin O. Tayo Math skills are essential in data science and machine learning I. Introduction If you are a data science aspirant, you no doubt have the following questions in mind: Can I become a data scientist …
Monte Carlo Simulation An In-depth Tutorial with Python
Figure 1: The Monte Carlo Simulation methods are used in many industries, from the stock market to finance, energy, banking, and other forecasting models. | Source: Pexels An in-depth tutorial on the Monte Carlo Simulation methods and applications with Python Author(s): Pratik Shukla, …
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